Upload or link to a CSV or google sheet that contains your sample input data.
For example, for Copilot, this would sample questions or for Art QR Code, would would be pairs of image descriptions and URLs.
Remember to includes header names in your CSV too.
Submit Links in Bulk
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Specify custom LLM prompts to calculate metrics that evaluate each row of the input data. The output should be a JSON object mapping the metric names to values.The columns dictionary can be used to reference the spreadsheet columns.
➕ Add a Prompt
Aggregate using one or more operations. Uses pandas.
➕ Add an Aggregation
How many answers should the copilot generate? Additional answer outputs increase the cost of each run.
The maximum number of tokens to generate in the completion. Increase to generate longer responses.
Higher values allow the LLM to take more risks. Try values larger than 1 for more creative applications or 0 to ensure that LLM gives the same answer when given the same user input.
Run cost = 10 credits
Generated in 94.26s at Feb 13, 2024 6:21 PM
Summarize and score every row of any CSV, google sheet or excel with GPT4 (or any LLM you choose). Then average every score in any column to generate automated evaluations.
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Which AI model actually works best for your needs?
Upload your own data and evaluate any Gooey.AI workflow, LLM or AI model against any other.
Great for large data sets, AI model evaluation, task automation, parallel processing and automated testing.
To get started, paste in a Gooey.AI workflow, upload a CSV of your test data (with header names!), check the mapping of headers to workflow inputs and tap Submit.
More tips in the Details below.
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